Researchers Identify Over 20 Supply Chain Vulnerabilities in MLOps Platforms

Cybersecurity researchers are warning about the security risks in the machine learning (ML) software supply chain following the discovery of more than 20 vulnerabilities that could be exploited to target MLOps platforms. These vulnerabilities, which are described as inherent- and implementation-based flaws, could have severe consequences, ranging from arbitrary code execution to loading

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Researchers Detail Kubernetes Vulnerability That Enables Windows Node Takeover

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Critical Veeam Backup Enterprise Manager Flaw Allows Authentication Bypass

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Turkish Hackers Exploiting Poorly Secured MS SQL Servers Across the Globe

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